XINA: Multiplexes Isobaric Mass Tagged-based Kinetics Data for Network Analysis

The aim of XINA is to determine which proteins exhibit similar patterns within and across experimental conditions, since proteins with co-abundance patterns may have common molecular functions. XINA imports multiple datasets, tags dataset in silico, and combines the data for subsequent subgrouping into multiple clusters. The result is a single output depicting the variation across all conditions. XINA, not only extracts coabundance profiles within and across experiments, but also incorporates protein-protein interaction databases and integrative resources such as KEGG to infer interactors and molecular functions, respectively, and produces intuitive graphical outputs.

Package details

AuthorLang Ho Lee <> and Sasha A. Singh <>
Bioconductor views Network Proteomics RNASeq SystemsBiology
MaintainerLang Ho Lee <> and Sasha A. Singh <>
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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XINA documentation built on Nov. 8, 2020, 5:32 p.m.